Upstream Cellular Biology

Upstream cellular biology

About the Job 
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

The Cell Science and Technology Department at Sanofi is seeking a highly motivated candidate to join a high-performing, collaborative team focused on optimizing CHO cell line development platforms through bioinformatic efforts and molecular biology techniques. Responsibilities will focus on improving process workflows, expression system components, and CLD methods used to generate recombinant CHO cell lines for production of protein biologics. This will include the design and generation of next generation vector topologies utilizing information gained from RNA-seq and genomic data analysis. The ideal candidate will possess expertise in integrating complex multi-omic datasets and in design of an automated pipeline for vector construction. Work will directly support development projects in Sanofi’s pipeline and will include frequent cross-functional interactions with colleagues in Sanofi’s global CMC sites (US,France).

KEY RESPONSIBILITIES

• Leading computational biology efforts in generating and analyzing omics datasets including genomics, transcriptomics, metabolomics, etc

• NGS library prep and analysis from short-read and long-read sequencing platforms

• Develop, evaluate and implement new molecular biology technologies through automated platforms

• Generation of vector constructs for expression of candidate biotherapeutic molecules

• Prepare technical reports and presentations to communicate progress and data

• Represent CLD function with external collaborators, vendors, and cross functional Sanofi colleagues.

BASIC QUALIFICATIONS

• PhD (0-3years) in Bioinformatics, Computational Biology, Biology, Cell Biology, Bioengineering, or related discipline, or Master’s degree in relevant discipline with > 4 years of relevant experience

• Fluent in R (RStudio, R Shiny, markdown), Python, the Python data science ecosystem (pandas, numpy, and data visualization toolkits), Git, Docker, Unix/Linux and AWS(EC2,S3)

• Experience in end-to-end analysis of output from DNA-Seq (alignment, variant calling, and variant annotation), bulk RNA-Seq, ChIP-Seq, ATAC-Seq, proteomics data sets, and subsequent pathway analysis (e.g. IPA and KEGG).

• Proficient in managing large datasets and bioinformatic outputs within HPC or cloud computing environment and creating insightful data visualizations. Possess a robust background in statistical methods and have expertise in both supervised and unsupervised learning algorithms

• Strong technical background and attention to detail

• Experience leading projects or project sub-teams and/or managing contract research org (CRO) relationships

• Self-motivated with excellent organization, time-management, and communication skills

• Demonstrated ability to work as a member of a team and adhere to timelines

PREFERRED QUALIFICATIONS

• Hands-on experience in molecular cloning techniques and/or DNA sequence analysis

• Mammalian cell culture experience in a pharmaceutical or biotechnology setting

• Genetic characterization method experience (such as ddPCR, qPCR)

• Experience with automated liquid handlers (Hamilton, etc)

• Flexibility to adjust to a fast-paced, goal-oriented environment and willingness to expand and broaden skillset.

Why Choose Us

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.